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Methodology

How SignalCards turns Reddit conversations into Opportunity Cards

SignalCards is an editorial research product. We read public conversations and distill them into a compact set of structured, source-backed Opportunity Cards. This page explains how that works and what our numbers mean.

How SignalCards works

  1. Collect. We look at public Reddit conversations in communities where founders, operators, marketers, agencies, builders, and customers discuss tools, workflows, switching decisions, and problems.
  2. Filter for eligibility. Posts are filtered against SignalCards’ market and subreddit criteria and run through our research pipeline. Posts that clear those filters are what we call “posts reviewed.”
  3. Analyze. Eligible posts and their top comments are analyzed for a concrete pain, the persona behind it, named tools and alternatives, buying signals, and timing.
  4. Curate. Only the strongest signals become Opportunity Cards, each with pain, why it matters, why now, a suggested action, and source context where available.

Monthly Archives and Early Editorial Releases

SignalCards preserves two report formats — both included in the same Monthly Intelligence subscription:

  • Monthly Archives are the current format: complete calendar-month scans organized by research month.
  • Early Editorial Releases preserve SignalCards’ original shorter-window format at their existing URLs.

Because the source windows are different, post counts can vary significantly between the two formats. Both follow the same editorial principle: only the strongest signals become Opportunity Cards.

New reports use the Monthly Archive format. The two Early Editorial Releases remain available as historical editorial records and are not treated as substitutes for May or June’s full-month research.

What “posts reviewed” means

“Posts reviewed” is the number of posts that passed SignalCards’ market/subreddit eligibility filters and were processed by the research pipeline for that report. It is not the total size of Reddit, and it is not a raw technical count of everything a dataset contains. It’s the eligible pool we actually worked through for that report.

How Opportunity Cards are selected

We look for recurring pains, competitor complaints, migration intent, product gaps, workarounds, buying evidence, named alternatives, and tools people are actively comparing or leaving. Automated tooling helps surface candidates, but the final product is an editorial research brief — not a raw feed.

Cards are grounded strictly in what the source says — we don’t invent competitors, prices, or migrations. Each card is graded by signal strength, and the report is curated and capped to keep it readable and actionable. SignalCards deliberately does not publish every detected signal, and does not guarantee leads or business success.

Why post counts differ

“Posts reviewed” means posts that passed SignalCards’ eligibility and relevance filters and were processed by the research pipeline. A larger historical dataset can produce a much larger reviewed-post count — a Monthly Archive can review many more posts than an Early Editorial Release.

That does not mean the final report should be longer. SignalCards intentionally curates every report down to a compact set of Opportunity Cards. More posts reviewed means broader coverage and more confidence in the selection — not a proportional increase in published cards. A Monthly Archive and an Early Editorial Release can land at a similar card count from very different source pools.

What SignalCards is not

  • Not a lead list.
  • Not a raw alert or social-listening feed.
  • Not a guarantee of market success or revenue.
  • Not a replacement for your own customer discovery.

SignalCards points you at real, source-backed signals worth investigating — the validation is still yours to do.